Triple
T22649331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taco Bell |
E559052
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Doritos Locos Tacos |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Doritos Locos Tacos | Statement: [Taco Bell, product, Doritos Locos Tacos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doritos Locos Tacos Context triple: [Taco Bell, product, Doritos Locos Tacos]
-
A.
Doritos
chosen
Doritos is a popular brand of flavored tortilla chips known for its bold, intense seasonings and triangular shape.
-
B.
Tostitos
Tostitos is a popular American brand of tortilla chips and related snack foods produced by Frito-Lay.
-
C.
Taco Grande
"Taco Grande" is a parody song by "Weird Al" Yankovic that humorously riffs on Gerardo's hit "Rico Suave" with lyrics centered around Mexican food.
-
D.
Frito Pendejo
Frito Pendejo is a dim-witted, opportunistic lawyer who serves as the comedic sidekick in the satirical science fiction film "Idiocracy."
-
E.
Rusty Taco
Rusty Taco is a fast-casual restaurant chain known for its street-style tacos and laid-back atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703a84b081909a683f8c850dcbf9 |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:05 p.m.